rca-agent

Automate root cause analysis and resolution of system failures with dual-agent diagnosis.

Updated Aug 23, 2026

Search Tags:#root cause analysis #log analysis #system diagnostics #autonomous resolution #dual-agent process

Ready to run

npx skills add https://github.com/ericfbrown1-boop/openclaw-workspace --skill rca-agent

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: rca-agent
Source: https://github.com/ericfbrown1-boop/openclaw-workspace/tree/main/skills/rca-agent
Command: npx skills add https://github.com/ericfbrown1-boop/openclaw-workspace --skill rca-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automatically detects system failures and engages a dual-agent process to diagnose and resolve issues without requiring Eric's direct involvement.

Core Features & Use Cases

Dual-Agent Process: Concurrently deploys an RCA Agent and an Auditor Agent to independently diagnose failures.
Log Analysis & Research: Collects and analyzes logs, performs online research, and cross-references incident patterns.
Adversarial Debate & Fix Plan: Engages in an adversarial debate to reach a consensus on the root cause and joint fix plan.
Autonomous Execution & Reporting: Executes the fix plan autonomously and reports the outcome to Eric.

Quick Start

Invoke the rca-agent skill to automatically initiate a root cause analysis for detected system issues.

Frequently Asked Questions about rca-agent

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How does autonomous root cause analysis work for system failures?▼

Autonomous root cause analysis works by deploying a dual-agent process where an RCA Agent and an Auditor Agent independently collect logs, perform research, and debate findings to reach a consensus before executing a fix plan.

Can I automate system diagnostics and recovery without manual intervention?▼

Yes, you can automate system diagnostics and recovery by invoking the dual-agent protocol to autonomously collect logs, cross-reference incident patterns, debate findings, and apply fix plans without requiring direct manual involvement.

What is the dual-agent process used for in log analysis and diagnostics?▼

The dual-agent process in log analysis concurrently deploys an RCA Agent and an Auditor Agent to independently diagnose failures, engage in an adversarial debate, and jointly formulate a fix plan for autonomous execution.

How do I initiate automated root cause analysis when a system issue is detected?▼

To initiate automated root cause analysis, invoke the skill protocol to automatically start the dual-agent process, which will collect logs, perform online research, debate the root cause, and execute the fix plan.

Are there limitations to using an adversarial debate approach for system diagnostics?▼

The adversarial debate approach for system diagnostics requires both agents to independently analyze logs and reach a consensus before applying fixes, meaning resolution speed depends on the agents' ability to converge on a joint fix plan.

Does autonomous resolution work for all types of system failures?▼

Autonomous resolution targets system failures by collecting logs, performing research, and applying fix plans, but its effectiveness depends on the agents' ability to cross-reference incident patterns and successfully debate a consensus fix.